1 November 1995 Adaptive approach to edge detection
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Optical Engineering, 34(11), (1995). doi:10.1117/12.212895
Abstract
An adaptive approach to edge detection using the transform domain and bandpass filtering is discussed. The method is also extended to 3-D and shown to yield better edge maps. The discrete symmetric cosine transform (DSCT) is shown to be the best transform for accurate edge detection. The theory is first discussed in 1-D. Then, the adaptive algorithm utilizing both the gradient and the Laplacian information is developed in 2-D and 3-D. Computer simulations with regular scenes and magnetic resonance imaging images are provided. The extension of the method to 3-D leads to improved noise immunity and better edge contours.
Ramakrishnan Sundaram, Okan K. Ersoy, David Hansen, "Adaptive approach to edge detection," Optical Engineering 34(11), (1 November 1995). http://dx.doi.org/10.1117/12.212895
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KEYWORDS
Edge detection

Bandpass filters

Linear filtering

3D image processing

Electronic filtering

Image filtering

Digital filtering

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